code: def forward(self, samples, X=None):
      if X is not None:
          return samples[..., : X.shape[-2], :]
      else:
          return samples
  
file_path: botorch/test/acquisition/multi_objective/test_logei.py
imports: import itertools
  import torch
  from botorch.acquisition.multi_objective.logei import qLogExpectedHypervolumeImprovement
  from botorch.acquisition.multi_objective.monte_carlo import MultiObjectiveMCAcquisitionFunction
  from botorch.acquisition.multi_objective.objective import MCMultiOutputObjective
  from botorch.sampling.normal import IIDNormalSampler, SobolQMCNormalSampler
  from botorch.utils.multi_objective.box_decompositions.non_dominated import NondominatedPartitioning
  from botorch.utils.testing import BotorchTestCase, MockModel, MockPosterior
label_desc: Use image node_id 1 for calling the DummyMCMultiOutputObjective obj's underlying member method code with example usage: obj.forward(samples, X) and returns: samples, samples